Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	108
Missing cells	63
Missing cells (%)	2.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	23.8 KiB
Average record size in memory	225.2 B

Variable types

Numeric	9
Categorical	19

Alerts

`airdate` has constant value "2020-12-16"	Constant
`url` has a high cardinality: 108 distinct values	High cardinality
`name` has a high cardinality: 100 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 69 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 69 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 56 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 62 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 59 distinct values	High cardinality
`_links_self_href` has a high cardinality: 108 distinct values	High cardinality
`season` is highly correlated with `_embedded_show_updated`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `season`	High correlation
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 3 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`name` is highly correlated with `summary` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_ended` and 13 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`summary` is highly correlated with `name` and 2 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`airdate` is highly correlated with `name` and 15 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`id` is highly correlated with `name` and 10 other fields	High correlation
`name` is highly correlated with `id` and 21 other fields	High correlation
`season` is highly correlated with `name` and 11 other fields	High correlation
`number` is highly correlated with `name` and 13 other fields	High correlation
`type` is highly correlated with `name` and 10 other fields	High correlation
`airtime` is highly correlated with `name` and 16 other fields	High correlation
`airstamp` is highly correlated with `name` and 19 other fields	High correlation
`runtime` is highly correlated with `name` and 17 other fields	High correlation
`summary` is highly correlated with `name` and 3 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_type` is highly correlated with `name` and 18 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_status` is highly correlated with `name` and 13 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `name` and 17 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `name` and 19 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 11 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_weight` is highly correlated with `name` and 14 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `name` and 12 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 14 other fields	High correlation
`number` has 2 (1.9%) missing values	Missing
`runtime` has 10 (9.3%) missing values	Missing
`_embedded_show_runtime` has 45 (41.7%) missing values	Missing
`_embedded_show_averageRuntime` has 6 (5.6%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:14:08.332159
Analysis finished	2022-05-10 02:14:58.478747
Duration	50.15 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	108
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2027675.056

Minimum	1945146
Maximum	2318106
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	1945146
5-th percentile	1960836.8
Q1	1984558.5
median	1987994.5
Q3	2047460
95-th percentile	2188934.65
Maximum	2318106
Range	372960
Interquartile range (IQR)	62901.5

Descriptive statistics

Standard deviation	77713.36423
Coefficient of variation (CV)	0.03832634031
Kurtosis	1.305068419
Mean	2027675.056
Median Absolute Deviation (MAD)	10350
Skewness	1.495939632
Sum	218988906
Variance	6039366979
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2179613	1	0.9%
1984952	1	0.9%
1987998	1	0.9%
1987997	1	0.9%
1987996	1	0.9%
1987995	1	0.9%
1987994	1	0.9%
1987992	1	0.9%
1987991	1	0.9%
1987033	1	0.9%
Other values (98)	98	90.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945146	1	0.9%
1945868	1	0.9%
1945900	1	0.9%
1945901	1	0.9%
1958574	1	0.9%
1958867	1	0.9%
1964495	1	0.9%
1970206	1	0.9%
1972027	1	0.9%
1976040	1	0.9%

Value	Count	Frequency (%)
2318106	1	0.9%
2205975	1	0.9%
2205974	1	0.9%
2197596	1	0.9%
2197284	1	0.9%
2192624	1	0.9%
2182083	1	0.9%
2179613	1	0.9%
2176133	1	0.9%
2174900	1	0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	108
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas	1
https://www.tvmaze.com/episodes/1984952/dream-detective-1x13-episode-13	1
https://www.tvmaze.com/episodes/1987998/rompan-todo-la-historia-del-rock-en-america-latina-1x05-un-solo-continente	1
https://www.tvmaze.com/episodes/1987997/rompan-todo-la-historia-del-rock-en-america-latina-1x04-rock-en-tu-idioma	1
https://www.tvmaze.com/episodes/1987996/rompan-todo-la-historia-del-rock-en-america-latina-1x03-musica-a-colores	1
Other values (103)	103

Length

Max length	161
Median length	112
Mean length	82.49074074
Min length	62

Characters and Unicode

Total characters	8909
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	108 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas
2nd row	https://www.tvmaze.com/episodes/1983259/mertvye-dusi-1x03-seria-3
3rd row	https://www.tvmaze.com/episodes/1983260/mertvye-dusi-1x04-seria-4
4th row	https://www.tvmaze.com/episodes/1997413/wan-sheng-jie-2x12-ah-goodbye-friends
5th row	https://www.tvmaze.com/episodes/2095628/yi-nian-yong-heng-1x21-episode-21

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas	1	0.9%
https://www.tvmaze.com/episodes/1984952/dream-detective-1x13-episode-13	1	0.9%
https://www.tvmaze.com/episodes/1987998/rompan-todo-la-historia-del-rock-en-america-latina-1x05-un-solo-continente	1	0.9%
https://www.tvmaze.com/episodes/1987997/rompan-todo-la-historia-del-rock-en-america-latina-1x04-rock-en-tu-idioma	1	0.9%
https://www.tvmaze.com/episodes/1987996/rompan-todo-la-historia-del-rock-en-america-latina-1x03-musica-a-colores	1	0.9%
https://www.tvmaze.com/episodes/1987995/rompan-todo-la-historia-del-rock-en-america-latina-1x02-la-represion	1	0.9%
https://www.tvmaze.com/episodes/1987994/rompan-todo-la-historia-del-rock-en-america-latina-1x01-la-rebeldia	1	0.9%
https://www.tvmaze.com/episodes/1987992/the-expanse-aftershow-1x03-thomas-jane	1	0.9%
https://www.tvmaze.com/episodes/1987991/the-expanse-aftershow-1x02-steven-strait-breck-eisner	1	0.9%
https://www.tvmaze.com/episodes/1987033/the-expanse-aftershow-1x01-naren-shankar	1	0.9%
Other values (98)	98	90.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas	1	0.9%
https://www.tvmaze.com/episodes/1977324/stjernestov-1x16-episode-16	1	0.9%
https://www.tvmaze.com/episodes/1983260/mertvye-dusi-1x04-seria-4	1	0.9%
https://www.tvmaze.com/episodes/1997413/wan-sheng-jie-2x12-ah-goodbye-friends	1	0.9%
https://www.tvmaze.com/episodes/2095628/yi-nian-yong-heng-1x21-episode-21	1	0.9%
https://www.tvmaze.com/episodes/2096298/no-turning-back-romance-1x04-4	1	0.9%
https://www.tvmaze.com/episodes/2030020/dolls-frontline-2x12-episode-12	1	0.9%
https://www.tvmaze.com/episodes/2066369/chu-feng-yi-dian-shizi-1x06-episode-6	1	0.9%
https://www.tvmaze.com/episodes/2071481/youths-in-the-breeze-1x11-people-from-the-story-03	1	0.9%
https://www.tvmaze.com/episodes/2071482/youths-in-the-breeze-1x12-people-from-the-story-04	1	0.9%
Other values (98)	98	90.7%

Most occurring characters

Value	Count	Frequency (%)
e	759	8.5%
-	722	8.1%
t	556	6.2%
/	540	6.1%
s	533	6.0%
o	500	5.6%
a	409	4.6%
w	364	4.1%
i	353	4.0%
m	326	3.7%
Other values (30)	3847	43.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6117	68.7%
Decimal Number	1206	13.5%
Other Punctuation	864	9.7%
Dash Punctuation	722	8.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	759	12.4%
t	556	9.1%
s	533	8.7%
o	500	8.2%
a	409	6.7%
w	364	6.0%
i	353	5.8%
m	326	5.3%
p	322	5.3%
d	249	4.1%
Other values (16)	1746	28.5%

Decimal Number

Value	Count	Frequency (%)
1	293	24.3%
9	157	13.0%
0	144	11.9%
2	133	11.0%
7	90	7.5%
8	88	7.3%
3	82	6.8%
6	81	6.7%
4	71	5.9%
5	67	5.6%

Other Punctuation

Value	Count	Frequency (%)
/	540	62.5%
.	216	25.0%
:	108	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	722	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6117	68.7%
Common	2792	31.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	759	12.4%
t	556	9.1%
s	533	8.7%
o	500	8.2%
a	409	6.7%
w	364	6.0%
i	353	5.8%
m	326	5.3%
p	322	5.3%
d	249	4.1%
Other values (16)	1746	28.5%

Common

Value	Count	Frequency (%)
-	722	25.9%
/	540	19.3%
1	293	10.5%
.	216	7.7%
9	157	5.6%
0	144	5.2%
2	133	4.8%
:	108	3.9%
7	90	3.2%
8	88	3.2%
Other values (4)	301	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8909	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	759	8.5%
-	722	8.1%
t	556	6.2%
/	540	6.1%
s	533	6.0%
o	500	5.6%
a	409	4.6%
w	364	4.1%
i	353	4.0%
m	326	3.7%
Other values (30)	3847	43.2%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	100
Distinct (%)	92.6%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

Episode 21	2
Episode 8	2
Episode 12	2
Episode 6	2
Episode 14	2
Other values (95)	98

Length

Max length	97
Median length	64
Mean length	18.44444444
Min length	1

Characters and Unicode

Total characters	1992
Distinct characters	131
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	85.2%

Sample

1st row	КОНТАКТЫ в телефоне Ильи Макарова: Руслан Белый, Гурам Амарян, Андрей Бебуришвили, Саша Ваш
2nd row	Серия 3
3rd row	Серия 4
4th row	Ah, Goodbye Friends
5th row	Episode 21

Common Values

Value	Count	Frequency (%)
Episode 21	2	1.9%
Episode 8	2	1.9%
Episode 12	2	1.9%
Episode 6	2	1.9%
Episode 14	2	1.9%
Episode 13	2	1.9%
Episode 2	2	1.9%
Episode 5	2	1.9%
КОНТАКТЫ в телефоне Ильи Макарова: Руслан Белый, Гурам Амарян, Андрей Бебуришвили, Саша Ваш	1	0.9%
Episode 34	1	0.9%
Other values (90)	90	83.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	36	10.0%
the	11	3.1%
	9	2.5%
a	5	1.4%
2	4	1.1%
la	3	0.8%
16	3	0.8%
4	3	0.8%
december	2	0.6%
3	2	0.6%
Other values (257)	281	78.3%

Most occurring characters

Value	Count	Frequency (%)
	251	12.6%
e	151	7.6%
o	106	5.3%
i	100	5.0%
a	86	4.3%
s	82	4.1%
n	69	3.5%
d	66	3.3%
r	64	3.2%
t	57	2.9%
Other values (121)	960	48.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1269	63.7%
Uppercase Letter	337	16.9%
Space Separator	251	12.6%
Decimal Number	91	4.6%
Other Punctuation	36	1.8%
Dash Punctuation	4	0.2%
Math Symbol	2	0.1%
Open Punctuation	1	0.1%
Close Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	151	11.9%
o	106	8.4%
i	100	7.9%
a	86	6.8%
s	82	6.5%
n	69	5.4%
d	66	5.2%
r	64	5.0%
t	57	4.5%
p	44	3.5%
Other values (51)	444	35.0%

Uppercase Letter

Value	Count	Frequency (%)
E	50	14.8%
T	19	5.6%
S	16	4.7%
M	14	4.2%
D	14	4.2%
R	13	3.9%
L	12	3.6%
H	11	3.3%
O	11	3.3%
N	10	3.0%
Other values (37)	167	49.6%

Decimal Number

Value	Count	Frequency (%)
1	22	24.2%
2	15	16.5%
3	13	14.3%
4	9	9.9%
0	9	9.9%
6	7	7.7%
5	5	5.5%
8	5	5.5%
7	3	3.3%
9	3	3.3%

Other Punctuation

Value	Count	Frequency (%)
,	17	47.2%
'	4	11.1%
&	3	8.3%
.	3	8.3%
:	3	8.3%
?	3	8.3%
#	2	5.6%
/	1	2.8%

Space Separator

Value	Count	Frequency (%)
	251	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1308	65.7%
Common	386	19.4%
Cyrillic	298	15.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	151	11.5%
o	106	8.1%
i	100	7.6%
a	86	6.6%
s	82	6.3%
n	69	5.3%
d	66	5.0%
r	64	4.9%
t	57	4.4%
E	50	3.8%
Other values (45)	477	36.5%

Cyrillic

Value	Count	Frequency (%)
а	32	10.7%
е	18	6.0%
р	17	5.7%
н	16	5.4%
и	14	4.7%
о	11	3.7%
т	10	3.4%
О	9	3.0%
в	9	3.0%
К	8	2.7%
Other values (43)	154	51.7%

Common

Value	Count	Frequency (%)
	251	65.0%
1	22	5.7%
,	17	4.4%
2	15	3.9%
3	13	3.4%
4	9	2.3%
0	9	2.3%
6	7	1.8%
5	5	1.3%
8	5	1.3%
Other values (13)	33	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1684	84.5%
Cyrillic	298	15.0%
None	10	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	251	14.9%
e	151	9.0%
o	106	6.3%
i	100	5.9%
a	86	5.1%
s	82	4.9%
n	69	4.1%
d	66	3.9%
r	64	3.8%
t	57	3.4%
Other values (61)	652	38.7%

Cyrillic

Value	Count	Frequency (%)
а	32	10.7%
е	18	6.0%
р	17	5.7%
н	16	5.4%
и	14	4.7%
о	11	3.7%
т	10	3.4%
О	9	3.0%
в	9	3.0%
К	8	2.7%
Other values (43)	154	51.7%

None

Value	Count	Frequency (%)
ó	3	30.0%
í	2	20.0%
å	1	10.0%
ø	1	10.0%
ã	1	10.0%
ç	1	10.0%
ú	1	10.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	11.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	95.78703704

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	26.45
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	425.9482012
Coefficient of variation (CV)	4.446825107
Kurtosis	17.50024661
Mean	95.78703704
Median Absolute Deviation (MAD)	0
Skewness	4.378885764
Sum	10345
Variance	181431.8701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	75	69.4%
2	7	6.5%
5	5	4.6%
2020	5	4.6%
4	5	4.6%
3	3	2.8%
7	3	2.8%
10	1	0.9%
8	1	0.9%
18	1	0.9%
Other values (2)	2	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	75	69.4%
2	7	6.5%
3	3	2.8%
4	5	4.6%
5	5	4.6%
7	3	2.8%
8	1	0.9%
10	1	0.9%
14	1	0.9%
18	1	0.9%

Value	Count	Frequency (%)
2020	5	4.6%
31	1	0.9%
18	1	0.9%
14	1	0.9%
10	1	0.9%
8	1	0.9%
7	3	2.8%
5	5	4.6%
4	5	4.6%
3	3	2.8%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	46
Distinct (%)	43.4%
Missing	2
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	27.06603774

Minimum	1
Maximum	343
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	11
Q3	28.25
95-th percentile	79
Maximum	343
Range	342
Interquartile range (IQR)	25.25

Descriptive statistics

Standard deviation	55.35758543
Coefficient of variation (CV)	2.045278513
Kurtosis	20.86067608
Mean	27.06603774
Median Absolute Deviation (MAD)	8
Skewness	4.398475577
Sum	2869
Variance	3064.462264
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
3	10	9.3%
1	9	8.3%
2	9	8.3%
4	6	5.6%
6	6	5.6%
11	5	4.6%
5	5	4.6%
8	4	3.7%
12	4	3.7%
30	3	2.8%
Other values (36)	45	41.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	8.3%
2	9	8.3%
3	10	9.3%
4	6	5.6%
5	5	4.6%
6	6	5.6%
7	1	0.9%
8	4	3.7%
9	2	1.9%
11	5	4.6%

Value	Count	Frequency (%)
343	1	0.9%
306	1	0.9%
305	1	0.9%
153	1	0.9%
102	1	0.9%
83	1	0.9%
67	1	0.9%
63	1	0.9%
62	1	0.9%
57	2	1.9%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

regular	106
significant_special	2

Length

Max length	19
Median length	7
Mean length	7.222222222
Min length	7

Characters and Unicode

Total characters	780
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	106	98.1%
significant_special	2	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	106	98.1%
significant_special	2	1.9%

Most occurring characters

Value	Count	Frequency (%)
r	212	27.2%
a	110	14.1%
e	108	13.8%
g	108	13.8%
l	108	13.8%
u	106	13.6%
i	8	1.0%
s	4	0.5%
n	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	778	99.7%
Connector Punctuation	2	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	212	27.2%
a	110	14.1%
e	108	13.9%
g	108	13.9%
l	108	13.9%
u	106	13.6%
i	8	1.0%
s	4	0.5%
n	4	0.5%
c	4	0.5%
Other values (3)	6	0.8%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	778	99.7%
Common	2	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	212	27.2%
a	110	14.1%
e	108	13.9%
g	108	13.9%
l	108	13.9%
u	106	13.6%
i	8	1.0%
s	4	0.5%
n	4	0.5%
c	4	0.5%
Other values (3)	6	0.8%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	780	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	212	27.2%
a	110	14.1%
e	108	13.8%
g	108	13.8%
l	108	13.8%
u	106	13.6%
i	8	1.0%
s	4	0.5%
n	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

2020-12-16	108

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1080
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-16
2nd row	2020-12-16
3rd row	2020-12-16
4th row	2020-12-16
5th row	2020-12-16

Common Values

Value	Count	Frequency (%)
2020-12-16	108	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-16	108	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	324	30.0%
0	216	20.0%
-	216	20.0%
1	216	20.0%
6	108	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	864	80.0%
Dash Punctuation	216	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	324	37.5%
0	216	25.0%
1	216	25.0%
6	108	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	216	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1080	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	324	30.0%
0	216	20.0%
-	216	20.0%
1	216	20.0%
6	108	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1080	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	324	30.0%
0	216	20.0%
-	216	20.0%
1	216	20.0%
6	108	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	9.3%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

nan	79
20:00	17
10:00	3
12:00	2
00:00	2
Other values (5)	5

Length

Max length	5
Median length	3
Mean length	3.537037037
Min length	3

Characters and Unicode

Total characters	382
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	4.6%

Sample

1st row	12:00
2nd row	nan
3rd row	nan
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
nan	79	73.1%
20:00	17	15.7%
10:00	3	2.8%
12:00	2	1.9%
00:00	2	1.9%
06:00	1	0.9%
17:35	1	0.9%
09:00	1	0.9%
08:30	1	0.9%
19:00	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	79	73.1%
20:00	17	15.7%
10:00	3	2.8%
12:00	2	1.9%
00:00	2	1.9%
06:00	1	0.9%
17:35	1	0.9%
09:00	1	0.9%
08:30	1	0.9%
19:00	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
n	158	41.4%
0	82	21.5%
a	79	20.7%
:	29	7.6%
2	19	5.0%
1	7	1.8%
3	2	0.5%
9	2	0.5%
6	1	0.3%
7	1	0.3%
Other values (2)	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	237	62.0%
Decimal Number	116	30.4%
Other Punctuation	29	7.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	82	70.7%
2	19	16.4%
1	7	6.0%
3	2	1.7%
9	2	1.7%
6	1	0.9%
7	1	0.9%
5	1	0.9%
8	1	0.9%

Lowercase Letter

Value	Count	Frequency (%)
n	158	66.7%
a	79	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	237	62.0%
Common	145	38.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	82	56.6%
:	29	20.0%
2	19	13.1%
1	7	4.8%
3	2	1.4%
9	2	1.4%
6	1	0.7%
7	1	0.7%
5	1	0.7%
8	1	0.7%

Latin

Value	Count	Frequency (%)
n	158	66.7%
a	79	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	382	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	158	41.4%
0	82	21.5%
a	79	20.7%
:	29	7.6%
2	19	5.0%
1	7	1.8%
3	2	0.5%
9	2	0.5%
6	1	0.3%
7	1	0.3%
Other values (2)	2	0.5%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

2020-12-16T12:00:00+00:00	74
2020-12-16T04:00:00+00:00	7
2020-12-16T11:00:00+00:00	6
2020-12-16T00:00:00+00:00	3
2020-12-16T10:00:00+00:00	2
Other values (13)	16

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2700
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	9.3%

Sample

1st row	2020-12-16T00:00:00+00:00
2nd row	2020-12-16T00:00:00+00:00
3rd row	2020-12-16T00:00:00+00:00
4th row	2020-12-16T02:00:00+00:00
5th row	2020-12-16T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-16T12:00:00+00:00	74	68.5%
2020-12-16T04:00:00+00:00	7	6.5%
2020-12-16T11:00:00+00:00	6	5.6%
2020-12-16T00:00:00+00:00	3	2.8%
2020-12-16T10:00:00+00:00	2	1.9%
2020-12-16T02:00:00+00:00	2	1.9%
2020-12-16T15:00:00+00:00	2	1.9%
2020-12-16T17:00:00+00:00	2	1.9%
2020-12-16T05:00:00+00:00	1	0.9%
2020-12-16T05:35:00+00:00	1	0.9%
Other values (8)	8	7.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-16t12:00:00+00:00	74	68.5%
2020-12-16t04:00:00+00:00	7	6.5%
2020-12-16t11:00:00+00:00	6	5.6%
2020-12-16t00:00:00+00:00	3	2.8%
2020-12-16t10:00:00+00:00	2	1.9%
2020-12-16t02:00:00+00:00	2	1.9%
2020-12-16t15:00:00+00:00	2	1.9%
2020-12-16t17:00:00+00:00	2	1.9%
2020-12-16t13:30:00+00:00	1	0.9%
2020-12-17t01:00:00+00:00	1	0.9%
Other values (8)	8	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	1101	40.8%
2	400	14.8%
:	324	12.0%
1	312	11.6%
-	216	8.0%
T	108	4.0%
+	108	4.0%
6	106	3.9%
4	8	0.3%
5	6	0.2%
Other values (3)	11	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1944	72.0%
Other Punctuation	324	12.0%
Dash Punctuation	216	8.0%
Uppercase Letter	108	4.0%
Math Symbol	108	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1101	56.6%
2	400	20.6%
1	312	16.0%
6	106	5.5%
4	8	0.4%
5	6	0.3%
7	5	0.3%
3	4	0.2%
9	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	324	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	216	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	108	100.0%

Math Symbol

Value	Count	Frequency (%)
+	108	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2592	96.0%
Latin	108	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1101	42.5%
2	400	15.4%
:	324	12.5%
1	312	12.0%
-	216	8.3%
+	108	4.2%
6	106	4.1%
4	8	0.3%
5	6	0.2%
7	5	0.2%
Other values (2)	6	0.2%

Latin

Value	Count	Frequency (%)
T	108	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1101	40.8%
2	400	14.8%
:	324	12.0%
1	312	11.6%
-	216	8.0%
T	108	4.0%
+	108	4.0%
6	106	3.9%
4	8	0.3%
5	6	0.2%
Other values (3)	11	0.4%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	38.8%
Missing	10
Missing (%)	9.3%
Infinite	0
Infinite (%)	0.0%
Mean	39.66326531

Minimum	2
Maximum	161
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	24.25
median	45
Q3	45
95-th percentile	94.5
Maximum	161
Range	159
Interquartile range (IQR)	20.75

Descriptive statistics

Standard deviation	27.05090424
Coefficient of variation (CV)	0.6820140508
Kurtosis	5.368639075
Mean	39.66326531
Median Absolute Deviation (MAD)	13.5
Skewness	1.830924718
Sum	3887
Variance	731.7514202
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
45	26	24.1%
30	5	4.6%
52	4	3.7%
120	4	3.7%
12	4	3.7%
5	3	2.8%
7	3	2.8%
19	3	2.8%
43	3	2.8%
20	3	2.8%
Other values (28)	40	37.0%
(Missing)	10	9.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.9%
4	2	1.9%
5	3	2.8%
6	1	0.9%
7	3	2.8%
8	1	0.9%
11	1	0.9%
12	4	3.7%
13	1	0.9%
19	3	2.8%

Value	Count	Frequency (%)
161	1	0.9%
120	4	3.7%
90	1	0.9%
79	1	0.9%
60	3	2.8%
55	1	0.9%
53	1	0.9%
52	4	3.7%
51	2	1.9%
50	1	0.9%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	35
Distinct (%)	32.4%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

nan	74
<p>When the band Peace and Love began chanting, "We got the power!" at the first rock festival in Mexico in 1971, the government responded by banning rock.</p><p><br /> </p>	1
<p>To get back in her family's good graces, Tumi looks for the missing best man. Against their better judgement, Tumi and Beauty seek out a family member.</p><p><br /> </p>	1
<p>Tumi shocks both families and devastates Beauty by letting slip a secret. But this time, after some soul searching, she decides to face the music.</p>	1
<p>Ty Franck and Wes Chatham welcome Executive Producer & Showrunner, Naren Shankar, to chat through how they adapted Nemesis Games to Season 5, The Churn, and what the hell a showrunner does.</p>	1
Other values (30)	30

Length

Max length	419
Median length	3
Mean length	59.0462963
Min length	3

Characters and Unicode

Total characters	6377
Distinct characters	78
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	31.5%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	74	68.5%
<p>When the band Peace and Love began chanting, "We got the power!" at the first rock festival in Mexico in 1971, the government responded by banning rock.</p><p><br /> </p>	1	0.9%
<p>To get back in her family's good graces, Tumi looks for the missing best man. Against their better judgement, Tumi and Beauty seek out a family member.</p><p><br /> </p>	1	0.9%
<p>Tumi shocks both families and devastates Beauty by letting slip a secret. But this time, after some soul searching, she decides to face the music.</p>	1	0.9%
<p>Ty Franck and Wes Chatham welcome Executive Producer & Showrunner, Naren Shankar, to chat through how they adapted Nemesis Games to Season 5, The Churn, and what the hell a showrunner does.</p>	1	0.9%
<p>Steven Strait (Lead Actor & Producer) and Breck Eisner (Director) join Wes Chatham and Ty Franck on this episode of the official The Expanse After show to discuss the contentious relationship between writer and director, insulting Steven Spielberg, the concept of family for Belters, capturing Baltimore in a totally uncomplicated way, and the once-a-season Simpsons easter egg.</p>	1	0.9%
<p>Ty and Wes sit down with Thomas Jane, a man who wears many hats—that's not a Miller joke, he directed Episode 3 in Season 5! Watch them break down Thomas' new role as a director, diverting from the scripts, and the impact of seeing Alien (1979) as children.</p>	1	0.9%
<p>Latin America's rock movement was sparked by Ritchie Valens' "La Bamba" and the Beatles but found its own voice in youth and resistance to dictatorship.</p><p><br /> </p>	1	0.9%
<p>After the fall of the Argentine dictatorship in 1983 and the Mexico City earthquake in 1985, rock explodes with ingenuity. And it's all in Spanish.</p><p><br /> </p>	1	0.9%
<p>More than five years after the first attack, the police finally make an arrest, setting off a media frenzy and accusations of a botched investigation.</p>	1	0.9%
Other values (25)	25	23.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	74	6.8%
the	63	5.8%
and	46	4.2%
to	35	3.2%
of	22	2.0%
a	21	1.9%
in	20	1.8%
	17	1.6%
p	17	1.6%
her	15	1.4%
Other values (568)	754	69.6%

Most occurring characters

Value	Count	Frequency (%)
	959	15.0%
e	541	8.5%
n	468	7.3%
a	455	7.1%
t	398	6.2%
o	347	5.4%
i	312	4.9%
r	293	4.6%
s	289	4.5%
h	204	3.2%
Other values (68)	2111	33.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4685	73.5%
Space Separator	976	15.3%
Uppercase Letter	232	3.6%
Math Symbol	226	3.5%
Other Punctuation	204	3.2%
Decimal Number	34	0.5%
Dash Punctuation	14	0.2%
Close Punctuation	3	< 0.1%
Open Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	541	11.5%
n	468	10.0%
a	455	9.7%
t	398	8.5%
o	347	7.4%
i	312	6.7%
r	293	6.3%
s	289	6.2%
h	204	4.4%
p	187	4.0%
Other values (18)	1191	25.4%

Uppercase Letter

Value	Count	Frequency (%)
A	31	13.4%
S	27	11.6%
T	21	9.1%
M	17	7.3%
B	14	6.0%
L	13	5.6%
R	12	5.2%
C	12	5.2%
W	11	4.7%
E	9	3.9%
Other values (13)	65	28.0%

Other Punctuation

Value	Count	Frequency (%)
/	65	31.9%
.	51	25.0%
,	49	24.0%
'	22	10.8%
!	5	2.5%
"	4	2.0%
?	3	1.5%
;	2	1.0%
&	2	1.0%
:	1	0.5%

Decimal Number

Value	Count	Frequency (%)
1	8	23.5%
9	7	20.6%
5	4	11.8%
7	4	11.8%
2	3	8.8%
8	3	8.8%
3	2	5.9%
0	2	5.9%
4	1	2.9%

Space Separator

Value	Count	Frequency (%)
	959	98.3%
	17	1.7%

Math Symbol

Value	Count	Frequency (%)
<	113	50.0%
>	113	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	78.6%
—	3	21.4%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4917	77.1%
Common	1460	22.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	541	11.0%
n	468	9.5%
a	455	9.3%
t	398	8.1%
o	347	7.1%
i	312	6.3%
r	293	6.0%
s	289	5.9%
h	204	4.1%
p	187	3.8%
Other values (41)	1423	28.9%

Common

Value	Count	Frequency (%)
	959	65.7%
<	113	7.7%
>	113	7.7%
/	65	4.5%
.	51	3.5%
,	49	3.4%
'	22	1.5%
	17	1.2%
-	11	0.8%
1	8	0.5%
Other values (17)	52	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6355	99.7%
None	19	0.3%
Punctuation	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	959	15.1%
e	541	8.5%
n	468	7.4%
a	455	7.2%
t	398	6.3%
o	347	5.5%
i	312	4.9%
r	293	4.6%
s	289	4.5%
h	204	3.2%
Other values (64)	2089	32.9%

None

Value	Count	Frequency (%)
	17	89.5%
é	1	5.3%
ö	1	5.3%

Punctuation

Value	Count	Frequency (%)
—	3	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	69
Distinct (%)	63.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47281.32407

Minimum	1825
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	1825
5-th percentile	9524.15
Q1	48909.5
median	52110
Q3	52743
95-th percentile	57860.6
Maximum	61755
Range	59930
Interquartile range (IQR)	3833.5

Descriptive statistics

Standard deviation	13666.57216
Coefficient of variation (CV)	0.289048
Kurtosis	4.667919626
Mean	47281.32407
Median Absolute Deviation (MAD)	1802
Skewness	-2.323608987
Sum	5106383
Variance	186775194.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52743	8	7.4%
51928	6	5.6%
52521	6	5.6%
51994	4	3.7%
52110	3	2.8%
52471	3	2.8%
1825	3	2.8%
57030	3	2.8%
52524	2	1.9%
52104	2	1.9%
Other values (59)	68	63.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1825	3	2.8%
2266	1	0.9%
2504	1	0.9%
6441	1	0.9%
15250	2	1.9%
17356	1	0.9%
26268	1	0.9%
28346	1	0.9%
30606	1	0.9%
33944	1	0.9%

Value	Count	Frequency (%)
61755	1	0.9%
58689	2	1.9%
58426	1	0.9%
58367	1	0.9%
57953	1	0.9%
57689	1	0.9%
57478	1	0.9%
57030	3	2.8%
56848	1	0.9%
56783	1	0.9%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	69
Distinct (%)	63.9%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

https://www.tvmaze.com/shows/52743/the-penalty-zone	8
https://www.tvmaze.com/shows/51928/anitta-made-in-honorio	6
https://www.tvmaze.com/shows/52521/rompan-todo-la-historia-del-rock-en-america-latina	6
https://www.tvmaze.com/shows/51994/the-ripper	4
https://www.tvmaze.com/shows/52110/how-to-ruin-christmas	3
Other values (64)	81

Length

Max length	85
Median length	61
Mean length	53.02777778
Min length	41

Characters and Unicode

Total characters	5727
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	46.3%

Sample

1st row	https://www.tvmaze.com/shows/49630/kontakty
2nd row	https://www.tvmaze.com/shows/52316/mertvye-dusi
3rd row	https://www.tvmaze.com/shows/52316/mertvye-dusi
4th row	https://www.tvmaze.com/shows/48395/wan-sheng-jie
5th row	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52743/the-penalty-zone	8	7.4%
https://www.tvmaze.com/shows/51928/anitta-made-in-honorio	6	5.6%
https://www.tvmaze.com/shows/52521/rompan-todo-la-historia-del-rock-en-america-latina	6	5.6%
https://www.tvmaze.com/shows/51994/the-ripper	4	3.7%
https://www.tvmaze.com/shows/52110/how-to-ruin-christmas	3	2.8%
https://www.tvmaze.com/shows/52471/the-expanse-aftershow	3	2.8%
https://www.tvmaze.com/shows/1825/the-expanse	3	2.8%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	3	2.8%
https://www.tvmaze.com/shows/52524/forever-love	2	1.9%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	1.9%
Other values (59)	68	63.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52743/the-penalty-zone	8	7.4%
https://www.tvmaze.com/shows/52521/rompan-todo-la-historia-del-rock-en-america-latina	6	5.6%
https://www.tvmaze.com/shows/51928/anitta-made-in-honorio	6	5.6%
https://www.tvmaze.com/shows/51994/the-ripper	4	3.7%
https://www.tvmaze.com/shows/52110/how-to-ruin-christmas	3	2.8%
https://www.tvmaze.com/shows/52471/the-expanse-aftershow	3	2.8%
https://www.tvmaze.com/shows/1825/the-expanse	3	2.8%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	3	2.8%
https://www.tvmaze.com/shows/52159/to-love	2	1.9%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	1.9%
Other values (59)	68	63.0%

Most occurring characters

Value	Count	Frequency (%)
/	540	9.4%
t	466	8.1%
w	459	8.0%
s	414	7.2%
o	359	6.3%
e	316	5.5%
h	296	5.2%
m	280	4.9%
a	264	4.6%
-	251	4.4%
Other values (29)	2082	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4072	71.1%
Other Punctuation	864	15.1%
Decimal Number	540	9.4%
Dash Punctuation	251	4.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	466	11.4%
w	459	11.3%
s	414	10.2%
o	359	8.8%
e	316	7.8%
h	296	7.3%
m	280	6.9%
a	264	6.5%
p	154	3.8%
c	152	3.7%
Other values (15)	912	22.4%

Decimal Number

Value	Count	Frequency (%)
5	107	19.8%
2	81	15.0%
4	65	12.0%
1	62	11.5%
7	45	8.3%
0	40	7.4%
6	39	7.2%
3	35	6.5%
8	35	6.5%
9	31	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	540	62.5%
.	216	25.0%
:	108	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	251	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4072	71.1%
Common	1655	28.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	466	11.4%
w	459	11.3%
s	414	10.2%
o	359	8.8%
e	316	7.8%
h	296	7.3%
m	280	6.9%
a	264	6.5%
p	154	3.8%
c	152	3.7%
Other values (15)	912	22.4%

Common

Value	Count	Frequency (%)
/	540	32.6%
-	251	15.2%
.	216	13.1%
:	108	6.5%
5	107	6.5%
2	81	4.9%
4	65	3.9%
1	62	3.7%
7	45	2.7%
0	40	2.4%
Other values (4)	140	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5727	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	540	9.4%
t	466	8.1%
w	459	8.0%
s	414	7.2%
o	359	6.3%
e	316	5.5%
h	296	5.2%
m	280	4.9%
a	264	4.6%
-	251	4.4%
Other values (29)	2082	36.4%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	69
Distinct (%)	63.9%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

The Penalty Zone	8
Anitta: Made in Honório	6
Rompan todo: La historia del rock en América Latina	6
The Ripper	4
How to Ruin Christmas	3
Other values (64)	81

Length

Max length	51
Median length	27
Mean length	18.31481481
Min length	6

Characters and Unicode

Total characters	1978
Distinct characters	93
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	46.3%

Sample

1st row	Контакты
2nd row	Мёртвые души
3rd row	Мёртвые души
4th row	Wan Sheng Jie
5th row	Yi Nian Yong Heng

Common Values

Value	Count	Frequency (%)
The Penalty Zone	8	7.4%
Anitta: Made in Honório	6	5.6%
Rompan todo: La historia del rock en América Latina	6	5.6%
The Ripper	4	3.7%
How to Ruin Christmas	3	2.8%
The Expanse Aftershow	3	2.8%
The Expanse	3	2.8%
Gjør det sjøl	3	2.8%
Forever Love	2	1.9%
Twisted Fate of Love	2	1.9%
Other values (59)	68	63.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	28	7.8%
in	8	2.2%
zone	8	2.2%
penalty	8	2.2%
la	7	1.9%
love	7	1.9%
honório	6	1.7%
en	6	1.7%
expanse	6	1.7%
anitta	6	1.7%
Other values (176)	269	74.9%

Most occurring characters

Value	Count	Frequency (%)
	251	12.7%
e	183	9.3%
a	124	6.3%
o	118	6.0%
n	107	5.4%
i	103	5.2%
r	98	5.0%
t	93	4.7%
h	65	3.3%
s	63	3.2%
Other values (83)	773	39.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1397	70.6%
Uppercase Letter	300	15.2%
Space Separator	251	12.7%
Other Punctuation	24	1.2%
Decimal Number	6	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	183	13.1%
a	124	8.9%
o	118	8.4%
n	107	7.7%
i	103	7.4%
r	98	7.0%
t	93	6.7%
h	65	4.7%
s	63	4.5%
l	44	3.1%
Other values (43)	399	28.6%

Uppercase Letter

Value	Count	Frequency (%)
T	40	13.3%
A	24	8.0%
M	23	7.7%
L	22	7.3%
R	20	6.7%
S	19	6.3%
P	15	5.0%
H	15	5.0%
C	13	4.3%
Y	12	4.0%
Other values (21)	97	32.3%

Other Punctuation

Value	Count	Frequency (%)
:	18	75.0%
'	4	16.7%
.	1	4.2%
,	1	4.2%

Decimal Number

Value	Count	Frequency (%)
0	2	33.3%
2	2	33.3%
1	1	16.7%
5	1	16.7%

Space Separator

Value	Count	Frequency (%)
	251	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1595	80.6%
Common	281	14.2%
Cyrillic	102	5.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	183	11.5%
a	124	7.8%
o	118	7.4%
n	107	6.7%
i	103	6.5%
r	98	6.1%
t	93	5.8%
h	65	4.1%
s	63	3.9%
l	44	2.8%
Other values (42)	597	37.4%

Cyrillic

Value	Count	Frequency (%)
т	9	8.8%
р	8	7.8%
е	8	7.8%
о	7	6.9%
а	7	6.9%
и	6	5.9%
к	6	5.9%
н	4	3.9%
д	4	3.9%
у	4	3.9%
Other values (22)	39	38.2%

Common

Value	Count	Frequency (%)
	251	89.3%
:	18	6.4%
'	4	1.4%
0	2	0.7%
2	2	0.7%
.	1	0.4%
,	1	0.4%
1	1	0.4%
5	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1855	93.8%
Cyrillic	102	5.2%
None	21	1.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	251	13.5%
e	183	9.9%
a	124	6.7%
o	118	6.4%
n	107	5.8%
i	103	5.6%
r	98	5.3%
t	93	5.0%
h	65	3.5%
s	63	3.4%
Other values (48)	650	35.0%

Cyrillic

Value	Count	Frequency (%)
т	9	8.8%
р	8	7.8%
е	8	7.8%
о	7	6.9%
а	7	6.9%
и	6	5.9%
к	6	5.9%
н	4	3.9%
д	4	3.9%
у	4	3.9%
Other values (22)	39	38.2%

None

Value	Count	Frequency (%)
ø	9	42.9%
ó	6	28.6%
é	6	28.6%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

Scripted	47
Documentary	20
Talk Show	13
Reality	10
Animation	8
Other values (4)	10

Length

Max length	11
Median length	9
Mean length	8.537037037
Min length	4

Characters and Unicode

Total characters	922
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Game Show
2nd row	Scripted
3rd row	Scripted
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	47	43.5%
Documentary	20	18.5%
Talk Show	13	12.0%
Reality	10	9.3%
Animation	8	7.4%
Game Show	3	2.8%
Sports	3	2.8%
News	2	1.9%
Variety	2	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	47	37.9%
documentary	20	16.1%
show	16	12.9%
talk	13	10.5%
reality	10	8.1%
animation	8	6.5%
game	3	2.4%
sports	3	2.4%
news	2	1.6%
variety	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
t	90	9.8%
e	84	9.1%
i	75	8.1%
r	72	7.8%
c	67	7.3%
S	66	7.2%
a	56	6.1%
p	50	5.4%
d	47	5.1%
o	47	5.1%
Other values (17)	268	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	782	84.8%
Uppercase Letter	124	13.4%
Space Separator	16	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	90	11.5%
e	84	10.7%
i	75	9.6%
r	72	9.2%
c	67	8.6%
a	56	7.2%
p	50	6.4%
d	47	6.0%
o	47	6.0%
n	36	4.6%
Other values (8)	158	20.2%

Uppercase Letter

Value	Count	Frequency (%)
S	66	53.2%
D	20	16.1%
T	13	10.5%
R	10	8.1%
A	8	6.5%
G	3	2.4%
N	2	1.6%
V	2	1.6%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	906	98.3%
Common	16	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	90	9.9%
e	84	9.3%
i	75	8.3%
r	72	7.9%
c	67	7.4%
S	66	7.3%
a	56	6.2%
p	50	5.5%
d	47	5.2%
o	47	5.2%
Other values (16)	252	27.8%

Common

Value	Count	Frequency (%)
	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	90	9.8%
e	84	9.1%
i	75	8.1%
r	72	7.8%
c	67	7.3%
S	66	7.2%
a	56	6.1%
p	50	5.4%
d	47	5.1%
o	47	5.1%
Other values (17)	268	29.1%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	14.8%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

Chinese	32
English	28
Norwegian	8
Russian	7
Spanish	7
Other values (11)	26

Length

Max length	10
Median length	7
Mean length	7.046296296
Min length	3

Characters and Unicode

Total characters	761
Distinct characters	32
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	4.6%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
Chinese	32	29.6%
English	28	25.9%
Norwegian	8	7.4%
Russian	7	6.5%
Spanish	7	6.5%
Portuguese	7	6.5%
nan	6	5.6%
Korean	2	1.9%
Arabic	2	1.9%
Japanese	2	1.9%
Other values (6)	7	6.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	32	29.6%
english	28	25.9%
norwegian	8	7.4%
russian	7	6.5%
spanish	7	6.5%
portuguese	7	6.5%
nan	6	5.6%
korean	2	1.9%
arabic	2	1.9%
japanese	2	1.9%
Other values (6)	7	6.5%

Most occurring characters

Value	Count	Frequency (%)
n	103	13.5%
e	93	12.2%
s	90	11.8%
i	89	11.7%
h	72	9.5%
a	44	5.8%
g	44	5.8%
C	32	4.2%
E	28	3.7%
l	28	3.7%
Other values (22)	138	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	659	86.6%
Uppercase Letter	102	13.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	103	15.6%
e	93	14.1%
s	90	13.7%
i	89	13.5%
h	72	10.9%
a	44	6.7%
g	44	6.7%
l	28	4.2%
u	23	3.5%
r	22	3.3%
Other values (8)	51	7.7%

Uppercase Letter

Value	Count	Frequency (%)
C	32	31.4%
E	28	27.5%
N	8	7.8%
P	7	6.9%
S	7	6.9%
R	7	6.9%
K	3	2.9%
A	2	2.0%
J	2	2.0%
T	2	2.0%
Other values (4)	4	3.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	761	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	103	13.5%
e	93	12.2%
s	90	11.8%
i	89	11.7%
h	72	9.5%
a	44	5.8%
g	44	5.8%
C	32	4.2%
E	28	3.7%
l	28	3.7%
Other values (22)	138	18.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	761	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	103	13.5%
e	93	12.2%
s	90	11.8%
i	89	11.7%
h	72	9.5%
a	44	5.8%
g	44	5.8%
C	32	4.2%
E	28	3.7%
l	28	3.7%
Other values (22)	138	18.1%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	28.7%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

[]	27
['Drama', 'Romance']	11
['Music']	9
['Drama', 'Action', 'Crime']	8
['Comedy']	7
Other values (26)	46

Length

Max length	42
Median length	38
Mean length	16.27777778
Min length	2

Characters and Unicode

Total characters	1758
Distinct characters	33
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	13.9%

Sample

1st row	[]
2nd row	['Comedy']
3rd row	['Comedy']
4th row	['Comedy', 'Anime', 'Supernatural']
5th row	['Comedy', 'Action', 'Anime', 'Fantasy']

Common Values

Value	Count	Frequency (%)
[]	27	25.0%
['Drama', 'Romance']	11	10.2%
['Music']	9	8.3%
['Drama', 'Action', 'Crime']	8	7.4%
['Comedy']	7	6.5%
['Music', 'History']	6	5.6%
['Crime']	4	3.7%
['Science-Fiction', 'Thriller', 'Mystery']	3	2.8%
['Comedy', 'Children']	3	2.8%
['Drama', 'Comedy']	3	2.8%
Other values (21)	27	25.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	34	17.6%
	27	14.0%
comedy	18	9.3%
crime	16	8.3%
music	15	7.8%
romance	14	7.3%
action	13	6.7%
thriller	9	4.7%
mystery	9	4.7%
history	9	4.7%
Other values (10)	29	15.0%

Most occurring characters

Value	Count	Frequency (%)
'	332	18.9%
[	108	6.1%
]	108	6.1%
a	103	5.9%
r	99	5.6%
m	90	5.1%
e	89	5.1%
i	87	4.9%
,	85	4.8%
	85	4.8%
Other values (23)	572	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	866	49.3%
Other Punctuation	417	23.7%
Uppercase Letter	170	9.7%
Open Punctuation	108	6.1%
Close Punctuation	108	6.1%
Space Separator	85	4.8%
Dash Punctuation	4	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	103	11.9%
r	99	11.4%
m	90	10.4%
e	89	10.3%
i	87	10.0%
o	59	6.8%
y	54	6.2%
n	54	6.2%
c	54	6.2%
t	45	5.2%
Other values (7)	132	15.2%

Uppercase Letter

Value	Count	Frequency (%)
C	39	22.9%
D	34	20.0%
M	24	14.1%
A	19	11.2%
R	14	8.2%
F	13	7.6%
T	10	5.9%
H	9	5.3%
S	7	4.1%
W	1	0.6%

Other Punctuation

Value	Count	Frequency (%)
'	332	79.6%
,	85	20.4%

Open Punctuation

Value	Count	Frequency (%)
[	108	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	108	100.0%

Space Separator

Value	Count	Frequency (%)
	85	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1036	58.9%
Common	722	41.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	103	9.9%
r	99	9.6%
m	90	8.7%
e	89	8.6%
i	87	8.4%
o	59	5.7%
y	54	5.2%
n	54	5.2%
c	54	5.2%
t	45	4.3%
Other values (17)	302	29.2%

Common

Value	Count	Frequency (%)
'	332	46.0%
[	108	15.0%
]	108	15.0%
,	85	11.8%
	85	11.8%
-	4	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	332	18.9%
[	108	6.1%
]	108	6.1%
a	103	5.9%
r	99	5.6%
m	90	5.1%
e	89	5.1%
i	87	4.9%
,	85	4.8%
	85	4.8%
Other values (23)	572	32.5%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

Running	54
Ended	48
To Be Determined	6

Length

Max length	16
Median length	11.5
Mean length	6.611111111
Min length	5

Characters and Unicode

Total characters	714
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Ended
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	54	50.0%
Ended	48	44.4%
To Be Determined	6	5.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	54	45.0%
ended	48	40.0%
to	6	5.0%
be	6	5.0%
determined	6	5.0%

Most occurring characters

Value	Count	Frequency (%)
n	216	30.3%
d	102	14.3%
e	72	10.1%
i	60	8.4%
R	54	7.6%
u	54	7.6%
g	54	7.6%
E	48	6.7%
	12	1.7%
T	6	0.8%
Other values (6)	36	5.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	582	81.5%
Uppercase Letter	120	16.8%
Space Separator	12	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	216	37.1%
d	102	17.5%
e	72	12.4%
i	60	10.3%
u	54	9.3%
g	54	9.3%
o	6	1.0%
t	6	1.0%
r	6	1.0%
m	6	1.0%

Uppercase Letter

Value	Count	Frequency (%)
R	54	45.0%
E	48	40.0%
T	6	5.0%
B	6	5.0%
D	6	5.0%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	702	98.3%
Common	12	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	216	30.8%
d	102	14.5%
e	72	10.3%
i	60	8.5%
R	54	7.7%
u	54	7.7%
g	54	7.7%
E	48	6.8%
T	6	0.9%
o	6	0.9%
Other values (5)	30	4.3%

Common

Value	Count	Frequency (%)
	12	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	714	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	216	30.3%
d	102	14.3%
e	72	10.1%
i	60	8.4%
R	54	7.6%
u	54	7.6%
g	54	7.6%
E	48	6.7%
	12	1.7%
T	6	0.8%
Other values (6)	36	5.0%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	28.6%
Missing	45
Missing (%)	41.7%
Infinite	0
Infinite (%)	0.0%
Mean	41.12698413

Minimum	2
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	2
5-th percentile	5.2
Q1	21.5
median	45
Q3	45
95-th percentile	117
Maximum	120
Range	118
Interquartile range (IQR)	23.5

Descriptive statistics

Standard deviation	27.4622862
Coefficient of variation (CV)	0.6677437401
Kurtosis	2.512863731
Mean	41.12698413
Median Absolute Deviation (MAD)	15
Skewness	1.417039841
Sum	2591
Variance	754.1771633
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
45	25	23.1%
20	6	5.6%
30	5	4.6%
120	4	3.7%
60	3	2.8%
25	3	2.8%
7	3	2.8%
5	2	1.9%
43	2	1.9%
90	2	1.9%
Other values (8)	8	7.4%
(Missing)	45	41.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.9%
4	1	0.9%
5	2	1.9%
7	3	2.8%
12	1	0.9%
16	1	0.9%
19	1	0.9%
20	6	5.6%
23	1	0.9%
25	3	2.8%

Value	Count	Frequency (%)
120	4	3.7%
90	2	1.9%
60	3	2.8%
55	1	0.9%
45	25	23.1%
43	2	1.9%
33	1	0.9%
30	5	4.6%
25	3	2.8%
23	1	0.9%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	33.3%
Missing	6
Missing (%)	5.6%
Infinite	0
Infinite (%)	0.0%
Mean	38.23529412

Minimum	2
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	20.75
median	44
Q3	49
95-th percentile	74.4
Maximum	120
Range	118
Interquartile range (IQR)	28.25

Descriptive statistics

Standard deviation	23.81911059
Coefficient of variation (CV)	0.6229613538
Kurtosis	3.091987485
Mean	38.23529412
Median Absolute Deviation (MAD)	14
Skewness	1.259553128
Sum	3900
Variance	567.3500291
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
45	24	22.2%
30	10	9.3%
50	9	8.3%
20	5	4.6%
25	5	4.6%
5	5	4.6%
49	4	3.7%
7	3	2.8%
12	3	2.8%
60	3	2.8%
Other values (24)	31	28.7%
(Missing)	6	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.9%
4	1	0.9%
5	5	4.6%
7	3	2.8%
8	1	0.9%
9	1	0.9%
10	1	0.9%
11	1	0.9%
12	3	2.8%
14	1	0.9%

Value	Count	Frequency (%)
120	3	2.8%
110	1	0.9%
90	1	0.9%
75	1	0.9%
63	1	0.9%
60	3	2.8%
59	1	0.9%
55	3	2.8%
50	9	8.3%
49	4	3.7%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	51.9%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

2020-12-16	31
2020-11-23	4
2020-12-14	4
2020-12-08	3
2020-12-09	3
Other values (51)	63

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1080
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	38.9%

Sample

1st row	2019-04-03
2nd row	2020-12-09
3rd row	2020-12-09
4th row	2020-04-01
5th row	2020-08-12

Common Values

Value	Count	Frequency (%)
2020-12-16	31	28.7%
2020-11-23	4	3.7%
2020-12-14	4	3.7%
2020-12-08	3	2.8%
2020-12-09	3	2.8%
2020-11-18	3	2.8%
2015-12-14	3	2.8%
2020-07-08	3	2.8%
2013-12-24	2	1.9%
2020-11-24	2	1.9%
Other values (46)	50	46.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-16	31	28.7%
2020-12-14	4	3.7%
2020-11-23	4	3.7%
2020-12-08	3	2.8%
2020-12-09	3	2.8%
2020-11-18	3	2.8%
2015-12-14	3	2.8%
2020-07-08	3	2.8%
2020-11-04	2	1.9%
2020-12-02	2	1.9%
Other values (46)	50	46.3%

Most occurring characters

Value	Count	Frequency (%)
2	265	24.5%
0	247	22.9%
-	216	20.0%
1	199	18.4%
6	38	3.5%
9	29	2.7%
4	23	2.1%
8	23	2.1%
3	20	1.9%
5	12	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	864	80.0%
Dash Punctuation	216	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	265	30.7%
0	247	28.6%
1	199	23.0%
6	38	4.4%
9	29	3.4%
4	23	2.7%
8	23	2.7%
3	20	2.3%
5	12	1.4%
7	8	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	216	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1080	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	265	24.5%
0	247	22.9%
-	216	20.0%
1	199	18.4%
6	38	3.5%
9	29	2.7%
4	23	2.1%
8	23	2.1%
3	20	1.9%
5	12	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1080	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	265	24.5%
0	247	22.9%
-	216	20.0%
1	199	18.4%
6	38	3.5%
9	29	2.7%
4	23	2.1%
8	23	2.1%
3	20	1.9%
5	12	1.1%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	14.8%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

nan	60
2020-12-16	21
2020-12-30	5
2021-01-05	4
2022-01-14	3
Other values (11)	15

Length

Max length	10
Median length	3
Mean length	6.111111111
Min length	3

Characters and Unicode

Total characters	660
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	6.5%

Sample

1st row	nan
2nd row	2020-12-16
3rd row	2020-12-16
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	60	55.6%
2020-12-16	21	19.4%
2020-12-30	5	4.6%
2021-01-05	4	3.7%
2022-01-14	3	2.8%
2021-01-27	2	1.9%
2020-12-22	2	1.9%
2020-12-23	2	1.9%
2021-01-14	2	1.9%
2021-01-06	1	0.9%
Other values (6)	6	5.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	60	55.6%
2020-12-16	21	19.4%
2020-12-30	5	4.6%
2021-01-05	4	3.7%
2022-01-14	3	2.8%
2021-01-27	2	1.9%
2020-12-22	2	1.9%
2020-12-23	2	1.9%
2021-01-14	2	1.9%
2021-01-06	1	0.9%
Other values (6)	6	5.6%

Most occurring characters

Value	Count	Frequency (%)
2	145	22.0%
n	120	18.2%
0	108	16.4%
-	96	14.5%
1	84	12.7%
a	60	9.1%
6	22	3.3%
3	10	1.5%
4	6	0.9%
5	4	0.6%
Other values (2)	5	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	384	58.2%
Lowercase Letter	180	27.3%
Dash Punctuation	96	14.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	145	37.8%
0	108	28.1%
1	84	21.9%
6	22	5.7%
3	10	2.6%
4	6	1.6%
5	4	1.0%
8	3	0.8%
7	2	0.5%

Lowercase Letter

Value	Count	Frequency (%)
n	120	66.7%
a	60	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	96	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	480	72.7%
Latin	180	27.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	145	30.2%
0	108	22.5%
-	96	20.0%
1	84	17.5%
6	22	4.6%
3	10	2.1%
4	6	1.2%
5	4	0.8%
8	3	0.6%
7	2	0.4%

Latin

Value	Count	Frequency (%)
n	120	66.7%
a	60	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	145	22.0%
n	120	18.2%
0	108	16.4%
-	96	14.5%
1	84	12.7%
a	60	9.1%
6	22	3.3%
3	10	1.5%
4	6	0.9%
5	4	0.6%
Other values (2)	5	0.8%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	62
Distinct (%)	57.4%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

nan	10
https://www.iqiyi.com/a_19rrhllpip.html	8
https://www.netflix.com/title/81302719	6
https://www.netflix.com/title/81006953	6
https://www.netflix.com/title/81006684	4
Other values (57)	74

Length

Max length	250
Median length	83
Mean length	45.80555556
Min length	3

Characters and Unicode

Total characters	4947
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	40.7%

Sample

1st row	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI
2nd row	https://www.ivi.ru/watch/mertvyie-dushi-2020
3rd row	https://www.ivi.ru/watch/mertvyie-dushi-2020
4th row	https://v.qq.com/detail/a/awnia0n2erqryf3.html
5th row	https://v.qq.com/detail/w/ww18u675tfmhas6.html

Common Values

Value	Count	Frequency (%)
nan	10	9.3%
https://www.iqiyi.com/a_19rrhllpip.html	8	7.4%
https://www.netflix.com/title/81302719	6	5.6%
https://www.netflix.com/title/81006953	6	5.6%
https://www.netflix.com/title/81006684	4	3.7%
https://tv.nrk.no/serie/gjoer-det-sjoel	3	2.8%
https://www.netflix.com/title/81294417	3	2.8%
https://www.youtube.com/playlist?list=PLWz2DO39R-NU5FW-aFfilRvyeg9oXMTgp	3	2.8%
https://www.amazon.com/dp/B07YL9WK1S/	3	2.8%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	1.9%
Other values (52)	60	55.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	10	9.3%
https://www.iqiyi.com/a_19rrhllpip.html	8	7.4%
https://www.netflix.com/title/81302719	6	5.6%
https://www.netflix.com/title/81006953	6	5.6%
https://www.netflix.com/title/81006684	4	3.7%
https://tv.nrk.no/serie/gjoer-det-sjoel	3	2.8%
https://www.netflix.com/title/81294417	3	2.8%
https://www.youtube.com/playlist?list=plwz2do39r-nu5fw-affilrvyeg9oxmtgp	3	2.8%
https://www.amazon.com/dp/b07yl9wk1s	3	2.8%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	1.9%
Other values (52)	60	55.6%

Most occurring characters

Value	Count	Frequency (%)
/	396	8.0%
t	390	7.9%
w	218	4.4%
.	215	4.3%
s	204	4.1%
e	201	4.1%
o	185	3.7%
h	182	3.7%
i	177	3.6%
l	161	3.3%
Other values (64)	2618	52.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3048	61.6%
Other Punctuation	866	17.5%
Decimal Number	599	12.1%
Uppercase Letter	331	6.7%
Dash Punctuation	49	1.0%
Math Symbol	30	0.6%
Connector Punctuation	24	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	390	12.8%
w	218	7.2%
s	204	6.7%
e	201	6.6%
o	185	6.1%
h	182	6.0%
i	177	5.8%
l	161	5.3%
p	161	5.3%
m	159	5.2%
Other values (16)	1010	33.1%

Uppercase Letter

Value	Count	Frequency (%)
B	50	15.1%
E	49	14.8%
A	21	6.3%
W	15	4.5%
L	13	3.9%
F	13	3.9%
Y	13	3.9%
D	12	3.6%
S	12	3.6%
T	12	3.6%
Other values (16)	121	36.6%

Decimal Number

Value	Count	Frequency (%)
0	106	17.7%
1	87	14.5%
8	85	14.2%
9	77	12.9%
2	47	7.8%
4	44	7.3%
5	43	7.2%
3	39	6.5%
6	37	6.2%
7	34	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	396	45.7%
.	215	24.8%
%	131	15.1%
:	98	11.3%
?	15	1.7%
&	9	1.0%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	28	93.3%
+	2	6.7%

Dash Punctuation

Value	Count	Frequency (%)
-	49	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3379	68.3%
Common	1568	31.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	390	11.5%
w	218	6.5%
s	204	6.0%
e	201	5.9%
o	185	5.5%
h	182	5.4%
i	177	5.2%
l	161	4.8%
p	161	4.8%
m	159	4.7%
Other values (42)	1341	39.7%

Common

Value	Count	Frequency (%)
/	396	25.3%
.	215	13.7%
%	131	8.4%
0	106	6.8%
:	98	6.2%
1	87	5.5%
8	85	5.4%
9	77	4.9%
-	49	3.1%
2	47	3.0%
Other values (12)	277	17.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4947	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	396	8.0%
t	390	7.9%
w	218	4.4%
.	215	4.3%
s	204	4.1%
e	201	4.1%
o	185	3.7%
h	182	3.7%
i	177	3.6%
l	161	3.3%
Other values (64)	2618	52.9%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	44
Distinct (%)	40.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.30555556

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	1
5-th percentile	6
Q1	16.5
median	18
Q3	44.75
95-th percentile	83.55
Maximum	99
Range	98
Interquartile range (IQR)	28.25

Descriptive statistics

Standard deviation	26.07123897
Coefficient of variation (CV)	0.8327991154
Kurtosis	0.2559407952
Mean	31.30555556
Median Absolute Deviation (MAD)	9
Skewness	1.214491237
Sum	3381
Variance	679.7095016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
18	24	22.2%
77	9	8.3%
13	6	5.6%
17	6	5.6%
6	4	3.7%
29	3	2.8%
51	3	2.8%
10	3	2.8%
25	3	2.8%
99	3	2.8%
Other values (34)	44	40.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.9%
2	2	1.9%
3	1	0.9%
5	1	0.9%
6	4	3.7%
7	2	1.9%
8	3	2.8%
10	3	2.8%
11	1	0.9%
13	6	5.6%

Value	Count	Frequency (%)
99	3	2.8%
91	1	0.9%
88	1	0.9%
86	1	0.9%
79	1	0.9%
77	9	8.3%
72	1	0.9%
69	1	0.9%
64	1	0.9%
55	1	0.9%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

nan	107
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1

Length

Max length	66
Median length	3
Mean length	3.583333333
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	27
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.9%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	107	99.1%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	107	94.7%
name	1	0.9%
ukraine	1	0.9%
code	1	0.9%
ua	1	0.9%
timezone	1	0.9%
europe/zaporozhye	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
n	217	56.1%
a	110	28.4%
'	12	3.1%
e	7	1.8%
o	5	1.3%
	5	1.3%
:	3	0.8%
r	3	0.8%
i	2	0.5%
p	2	0.5%
Other values (17)	21	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	357	92.2%
Other Punctuation	18	4.7%
Space Separator	5	1.3%
Uppercase Letter	5	1.3%
Open Punctuation	1	0.3%
Close Punctuation	1	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	217	60.8%
a	110	30.8%
e	7	2.0%
o	5	1.4%
r	3	0.8%
i	2	0.6%
p	2	0.6%
z	2	0.6%
m	2	0.6%
u	1	0.3%
Other values (6)	6	1.7%

Other Punctuation

Value	Count	Frequency (%)
'	12	66.7%
:	3	16.7%
,	2	11.1%
/	1	5.6%

Uppercase Letter

Value	Count	Frequency (%)
U	2	40.0%
Z	1	20.0%
E	1	20.0%
A	1	20.0%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	362	93.5%
Common	25	6.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	217	59.9%
a	110	30.4%
e	7	1.9%
o	5	1.4%
r	3	0.8%
i	2	0.6%
p	2	0.6%
z	2	0.6%
U	2	0.6%
m	2	0.6%
Other values (10)	10	2.8%

Common

Value	Count	Frequency (%)
'	12	48.0%
	5	20.0%
:	3	12.0%
,	2	8.0%
/	1	4.0%
{	1	4.0%
}	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	217	56.1%
a	110	28.4%
'	12	3.1%
e	7	1.8%
o	5	1.3%
	5	1.3%
:	3	0.8%
r	3	0.8%
i	2	0.5%
p	2	0.5%
Other values (17)	21	5.4%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	59
Distinct (%)	54.6%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

nan	11
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	8
<p><b>Anitta: Made in Honório </b>shows, in an unprecedented way, the private life and career of the singer Anitta, icon of funk and pop in Brazil. The show closely follows the controversial and fascinating artist in her intimacy and during the preparation of important shows on different stages around the world. It also shows her on the road and in meetings with her staff, while accumulating two roles: as an artist and entrepreneur.</p>	6
<p>Soda Stereo, Café Tacvba, Aterciopelados and others figure in this 50-year history of Latin American rock through dictatorships, disasters and dissent.</p>	6
<p>For five years, between 1975 to 1980, the Yorkshire Ripper murders cast a dark shadow over the lives of women in the North of England. 13 women were dead and the police seemed incapable of catching the killer. No one felt safe - and every man was a suspect.</p>	4
Other values (54)	73

Length

Max length	913
Median length	470
Mean length	275.1944444
Min length	3

Characters and Unicode

Total characters	29721
Distinct characters	96
Distinct categories	14 ?
Distinct scripts	4 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	36.1%

Sample

1st row	nan
2nd row	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>
3rd row	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>
4th row	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>
5th row	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>

Common Values

Value	Count	Frequency (%)
nan	11	10.2%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	8	7.4%
<p><b>Anitta: Made in Honório </b>shows, in an unprecedented way, the private life and career of the singer Anitta, icon of funk and pop in Brazil. The show closely follows the controversial and fascinating artist in her intimacy and during the preparation of important shows on different stages around the world. It also shows her on the road and in meetings with her staff, while accumulating two roles: as an artist and entrepreneur.</p>	6	5.6%
<p>Soda Stereo, Café Tacvba, Aterciopelados and others figure in this 50-year history of Latin American rock through dictatorships, disasters and dissent.</p>	6	5.6%
<p>For five years, between 1975 to 1980, the Yorkshire Ripper murders cast a dark shadow over the lives of women in the North of England. 13 women were dead and the police seemed incapable of catching the killer. No one felt safe - and every man was a suspect.</p>	4	3.7%
<p>Morten shows you how you can make something cool with what you have at home!</p>	3	2.8%
<p>Free-spirited Tumi always manages to make a mess of things. Can she make it through this holiday family reunion without ruining it completely?</p>	3	2.8%
<p>Ty Franck and Wes Chatham dive into the development, behind-the-scenes, and easter eggs of Season 5 of <i>The Expanse.</i></p>	3	2.8%
<p>A thriller set two hundred years in the future, <b>The Expanse</b> follows the case of a missing young woman who brings a hardened detective and a rogue ship's captain together in a race across the solar system to expose the greatest conspiracy in human history.</p>	3	2.8%
<p>A story that follows a detective in the major crimes division of Nan Xing City Police Department. Together with a woman who has super memory, he upholds the law one case at a time in solving murders, burglaries and bringing down a narcotics manufacturing facility. Jing Chu is a young and capable detective. Due to his repeated merits from cracking big cases, he is promoted to the position of major crimes division vice-captain at Nan Xing city and starts to work alongside his new team. Because of a murder case, he meets Yang Mian Mian, a young woman who possesses a photographic memory. He soon realizes that Mian Mian seems to have a deep connection to his father's mysterious death many years ago. Meanwhile, a famous blogger and a member of an idol girl group die</p>	2	1.9%
Other values (49)	59	54.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	234	4.7%
and	202	4.1%
a	165	3.3%
of	140	2.8%
to	126	2.5%
in	120	2.4%
his	74	1.5%
with	43	0.9%
he	39	0.8%
who	38	0.8%
Other values (1406)	3806	76.3%

Most occurring characters

Value	Count	Frequency (%)
	4871	16.4%
e	2642	8.9%
a	1965	6.6%
t	1780	6.0%
n	1732	5.8%
o	1705	5.7%
i	1675	5.6%
s	1520	5.1%
r	1440	4.8%
h	1118	3.8%
Other values (86)	9273	31.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22330	75.1%
Space Separator	4879	16.4%
Uppercase Letter	922	3.1%
Other Punctuation	788	2.7%
Math Symbol	584	2.0%
Decimal Number	106	0.4%
Dash Punctuation	73	0.2%
Format	12	< 0.1%
Open Punctuation	8	< 0.1%
Close Punctuation	8	< 0.1%
Other values (4)	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2642	11.8%
a	1965	8.8%
t	1780	8.0%
n	1732	7.8%
o	1705	7.6%
i	1675	7.5%
s	1520	6.8%
r	1440	6.4%
h	1118	5.0%
l	855	3.8%
Other values (20)	5898	26.4%

Uppercase Letter

Value	Count	Frequency (%)
S	99	10.7%
T	88	9.5%
A	84	9.1%
M	53	5.7%
W	49	5.3%
L	48	5.2%
H	45	4.9%
Y	39	4.2%
C	38	4.1%
N	36	3.9%
Other values (16)	343	37.2%

Other Punctuation

Value	Count	Frequency (%)
,	267	33.9%
.	238	30.2%
/	157	19.9%
'	46	5.8%
"	33	4.2%
:	23	2.9%
!	12	1.5%
?	11	1.4%
…	1	0.1%

Decimal Number

Value	Count	Frequency (%)
0	30	28.3%
1	25	23.6%
5	15	14.2%
2	9	8.5%
9	8	7.5%
8	8	7.5%
7	6	5.7%
3	5	4.7%

Other Letter

Value	Count	Frequency (%)
ダ	1	12.5%
ム	1	12.5%
ス	1	12.5%
タ	1	12.5%
株	1	12.5%
社	1	12.5%
会	1	12.5%
式	1	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	65	89.0%
—	7	9.6%
–	1	1.4%

Space Separator

Value	Count	Frequency (%)
	4871	99.8%
	8	0.2%

Math Symbol

Value	Count	Frequency (%)
>	292	50.0%
<	292	50.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	87.5%
[	1	12.5%

Close Punctuation

Value	Count	Frequency (%)
)	7	87.5%
]	1	12.5%

Format

Value	Count	Frequency (%)
‎	12	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	1	100.0%

Other Symbol

Value	Count	Frequency (%)
✪	1	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23252	78.2%
Common	6461	21.7%
Katakana	4	< 0.1%
Han	4	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2642	11.4%
a	1965	8.5%
t	1780	7.7%
n	1732	7.4%
o	1705	7.3%
i	1675	7.2%
s	1520	6.5%
r	1440	6.2%
h	1118	4.8%
l	855	3.7%
Other values (46)	6820	29.3%

Common

Value	Count	Frequency (%)
	4871	75.4%
>	292	4.5%
<	292	4.5%
,	267	4.1%
.	238	3.7%
/	157	2.4%
-	65	1.0%
'	46	0.7%
"	33	0.5%
0	30	0.5%
Other values (22)	170	2.6%

Katakana

Value	Count	Frequency (%)
ダ	1	25.0%
ム	1	25.0%
ス	1	25.0%
タ	1	25.0%

Han

Value	Count	Frequency (%)
株	1	25.0%
社	1	25.0%
会	1	25.0%
式	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29667	99.8%
None	23	0.1%
Punctuation	21	0.1%
Katakana	5	< 0.1%
CJK	4	< 0.1%
Dingbats	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4871	16.4%
e	2642	8.9%
a	1965	6.6%
t	1780	6.0%
n	1732	5.8%
o	1705	5.7%
i	1675	5.6%
s	1520	5.1%
r	1440	4.9%
h	1118	3.8%
Other values (67)	9219	31.1%

Punctuation

Value	Count	Frequency (%)
‎	12	57.1%
—	7	33.3%
–	1	4.8%
…	1	4.8%

None

Value	Count	Frequency (%)
	8	34.8%
é	7	30.4%
ó	6	26.1%
ā	1	4.3%
å	1	4.3%

Katakana

Value	Count	Frequency (%)
ー	1	20.0%
ダ	1	20.0%
ム	1	20.0%
ス	1	20.0%
タ	1	20.0%

Dingbats

Value	Count	Frequency (%)
✪	1	100.0%

CJK

Value	Count	Frequency (%)
株	1	25.0%
社	1	25.0%
会	1	25.0%
式	1	25.0%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	69
Distinct (%)	63.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1629093515

Minimum	1606418164
Maximum	1652080636
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	992.0 B

Quantile statistics

Minimum	1606418164
5-th percentile	1608671915
Q1	1612297661
median	1629863948
Q3	1647581886
95-th percentile	1651685992
Maximum	1652080636
Range	45662472
Interquartile range (IQR)	35284225

Descriptive statistics

Standard deviation	17280939.27
Coefficient of variation (CV)	0.01060770245
Kurtosis	-1.746788849
Mean	1629093515
Median Absolute Deviation (MAD)	17566287
Skewness	0.06201301588
Sum	1.759420996 × 10¹¹
Variance	2.986308622 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1609799896	8	7.4%
1608671915	6	5.6%
1612297661	6	5.6%
1642245308	4	3.7%
1639400490	3	2.8%
1612479920	3	2.8%
1650162552	3	2.8%
1634168139	3	2.8%
1612478145	2	1.9%
1609535141	2	1.9%
Other values (59)	68	63.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1606418164	2	1.9%
1608253013	2	1.9%
1608671915	6	5.6%
1609060726	2	1.9%
1609535141	2	1.9%
1609689736	1	0.9%
1609799896	8	7.4%
1610890340	1	0.9%
1611436842	1	0.9%
1612007831	1	0.9%

Value	Count	Frequency (%)
1652080636	1	0.9%
1651933962	1	0.9%
1651933209	1	0.9%
1651838647	1	0.9%
1651777316	1	0.9%
1651688041	1	0.9%
1651682188	1	0.9%
1651645684	1	0.9%
1651507091	1	0.9%
1651417027	1	0.9%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	108
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	992.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2189555	1
https://api.tvmaze.com/episodes/1955318	1
https://api.tvmaze.com/episodes/1996786	1
https://api.tvmaze.com/episodes/1949336	1
Other values (103)	103

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4212
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	108 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2189555	1	0.9%
https://api.tvmaze.com/episodes/1955318	1	0.9%
https://api.tvmaze.com/episodes/1996786	1	0.9%
https://api.tvmaze.com/episodes/1949336	1	0.9%
https://api.tvmaze.com/episodes/1949335	1	0.9%
https://api.tvmaze.com/episodes/1949334	1	0.9%
https://api.tvmaze.com/episodes/1949333	1	0.9%
https://api.tvmaze.com/episodes/1949332	1	0.9%
https://api.tvmaze.com/episodes/1949331	1	0.9%
Other values (98)	98	90.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2324433	1	0.9%
https://api.tvmaze.com/episodes/1964000	1	0.9%
https://api.tvmaze.com/episodes/1995405	1	0.9%
https://api.tvmaze.com/episodes/2007760	1	0.9%
https://api.tvmaze.com/episodes/1985789	1	0.9%
https://api.tvmaze.com/episodes/2039622	1	0.9%
https://api.tvmaze.com/episodes/2039623	1	0.9%
https://api.tvmaze.com/episodes/2324427	1	0.9%
https://api.tvmaze.com/episodes/2324428	1	0.9%
Other values (98)	98	90.7%

Most occurring characters

Value	Count	Frequency (%)
/	432	10.3%
p	324	7.7%
s	324	7.7%
e	324	7.7%
t	324	7.7%
o	216	5.1%
a	216	5.1%
i	216	5.1%
.	216	5.1%
m	216	5.1%
Other values (16)	1404	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2700	64.1%
Other Punctuation	756	17.9%
Decimal Number	756	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	324	12.0%
s	324	12.0%
e	324	12.0%
t	324	12.0%
o	216	8.0%
a	216	8.0%
i	216	8.0%
m	216	8.0%
h	108	4.0%
d	108	4.0%
Other values (3)	324	12.0%

Decimal Number

Value	Count	Frequency (%)
9	119	15.7%
2	113	14.9%
1	99	13.1%
0	96	12.7%
3	65	8.6%
6	63	8.3%
8	59	7.8%
7	51	6.7%
4	49	6.5%
5	42	5.6%

Other Punctuation

Value	Count	Frequency (%)
/	432	57.1%
.	216	28.6%
:	108	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2700	64.1%
Common	1512	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	432	28.6%
.	216	14.3%
9	119	7.9%
2	113	7.5%
:	108	7.1%
1	99	6.5%
0	96	6.3%
3	65	4.3%
6	63	4.2%
8	59	3.9%
Other values (3)	142	9.4%

Latin

Value	Count	Frequency (%)
p	324	12.0%
s	324	12.0%
e	324	12.0%
t	324	12.0%
o	216	8.0%
a	216	8.0%
i	216	8.0%
m	216	8.0%
h	108	4.0%
d	108	4.0%
Other values (3)	324	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4212	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	432	10.3%
p	324	7.7%
s	324	7.7%
e	324	7.7%
t	324	7.7%
o	216	5.1%
a	216	5.1%
i	216	5.1%
.	216	5.1%
m	216	5.1%
Other values (16)	1404	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	2179613	https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas	КОНТАКТЫ в телефоне Ильи Макарова: Руслан Белый, Гурам Амарян, Андрей Бебуришвили, Саша Ваш	1.0	30.0	regular	2020-12-16	12:00	2020-12-16T00:00:00+00:00	32.0	nan	49630	https://www.tvmaze.com/shows/49630/kontakty	Контакты	Game Show	Russian	[]	Running	30.0	41.0	2019-04-03	nan	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI	53.0	nan	nan	1.651688e+09	https://api.tvmaze.com/episodes/1977902
1	1983259	https://www.tvmaze.com/episodes/1983259/mertvye-dusi-1x03-seria-3	Серия 3	1.0	3.0	regular	2020-12-16	nan	2020-12-16T00:00:00+00:00	43.0	nan	52316	https://www.tvmaze.com/shows/52316/mertvye-dusi	Мёртвые души	Scripted	Russian	['Comedy']	Ended	43.0	43.0	2020-12-09	2020-12-16	https://www.ivi.ru/watch/mertvyie-dushi-2020	18.0	nan	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>	1.608253e+09	https://api.tvmaze.com/episodes/2015818
2	1983260	https://www.tvmaze.com/episodes/1983260/mertvye-dusi-1x04-seria-4	Серия 4	1.0	4.0	regular	2020-12-16	nan	2020-12-16T00:00:00+00:00	43.0	nan	52316	https://www.tvmaze.com/shows/52316/mertvye-dusi	Мёртвые души	Scripted	Russian	['Comedy']	Ended	43.0	43.0	2020-12-09	2020-12-16	https://www.ivi.ru/watch/mertvyie-dushi-2020	18.0	nan	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>	1.608253e+09	https://api.tvmaze.com/episodes/1964000
3	1997413	https://www.tvmaze.com/episodes/1997413/wan-sheng-jie-2x12-ah-goodbye-friends	Ah, Goodbye Friends	2.0	12.0	regular	2020-12-16	10:00	2020-12-16T02:00:00+00:00	4.0	nan	48395	https://www.tvmaze.com/shows/48395/wan-sheng-jie	Wan Sheng Jie	Animation	Chinese	['Comedy', 'Anime', 'Supernatural']	Running	4.0	4.0	2020-04-01	nan	https://v.qq.com/detail/a/awnia0n2erqryf3.html	17.0	nan	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>	1.647194e+09	https://api.tvmaze.com/episodes/1995405
4	2095628	https://www.tvmaze.com/episodes/2095628/yi-nian-yong-heng-1x21-episode-21	Episode 21	1.0	21.0	regular	2020-12-16	10:00	2020-12-16T02:00:00+00:00	19.0	nan	49652	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng	Yi Nian Yong Heng	Animation	Chinese	['Comedy', 'Action', 'Anime', 'Fantasy']	Running	19.0	19.0	2020-08-12	nan	https://v.qq.com/detail/w/ww18u675tfmhas6.html	17.0	nan	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>	1.649494e+09	https://api.tvmaze.com/episodes/2007760
5	2096298	https://www.tvmaze.com/episodes/2096298/no-turning-back-romance-1x04-4	4	1.0	4.0	regular	2020-12-16	nan	2020-12-16T03:00:00+00:00	12.0	nan	55002	https://www.tvmaze.com/shows/55002/no-turning-back-romance	No Turning Back Romance	Scripted	Korean	[]	Ended	NaN	12.0	2020-12-08	2021-01-06	nan	20.0	nan	<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>	1.621617e+09	https://api.tvmaze.com/episodes/1985789
6	2030020	https://www.tvmaze.com/episodes/2030020/dolls-frontline-2x12-episode-12	Episode 12	2.0	12.0	regular	2020-12-16	12:00	2020-12-16T04:00:00+00:00	5.0	nan	45713	https://www.tvmaze.com/shows/45713/dolls-frontline	Dolls' Frontline	Animation	Chinese	['Comedy', 'Anime', 'Science-Fiction']	Ended	5.0	5.0	2019-07-28	2020-12-16	https://www.bilibili.com/bangumi/media/md28229895	20.0	nan	<p>Re-imagines famous firearms as moe girls with machine bodies that are known as T-Dolls.</p>	1.613087e+09	https://api.tvmaze.com/episodes/2039622
7	2066369	https://www.tvmaze.com/episodes/2066369/chu-feng-yi-dian-shizi-1x06-episode-6	Episode 6	1.0	6.0	regular	2020-12-16	nan	2020-12-16T04:00:00+00:00	30.0	nan	54637	https://www.tvmaze.com/shows/54637/chu-feng-yi-dian-shizi	Chu Feng: Yi Dian Shizi	Animation	Chinese	['Action']	Ended	30.0	30.0	2020-11-18	2021-01-27	http://weibo.com/u/6516179447	8.0	nan	<p>Ordinary high school student Haoxuan Sun was taken hostage in a seemingly robbery and rescued by a girl wearing winged battledress with bee bionics designs. Haoxuan Sun's peaceful life was stirred by the girl – human bioengineering weapon Vanguard Liuli. Discovered that he is the "Son of Eden" wanted by all the great powers, Haoxuan Sun and Liuli have been searching for the truth and fight against the so-called destiny. At the same time, people around Haoxuan Sun, senpai Ye Bai who he has a crash on, his best friend, and many others, were discovered to have a second identities.<br /><br />The new BEE anime is based on the original manga plot. In addition, BEE manga's author Baimao personally joined the production team. The new BEE will also include two subplots entirely new to the viewers.</p>	1.617984e+09	https://api.tvmaze.com/episodes/2039623
8	2071481	https://www.tvmaze.com/episodes/2071481/youths-in-the-breeze-1x11-people-from-the-story-03	PEOPLE FROM THE STORY #03	1.0	11.0	regular	2020-12-16	nan	2020-12-16T04:00:00+00:00	7.0	nan	54762	https://www.tvmaze.com/shows/54762/youths-in-the-breeze	Youths in the Breeze	Scripted	Chinese	['Drama', 'Fantasy']	Ended	7.0	7.0	2020-12-13	2020-12-22	https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	28.0	nan	<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	1.618467e+09	https://api.tvmaze.com/episodes/2324427
9	2071482	https://www.tvmaze.com/episodes/2071482/youths-in-the-breeze-1x12-people-from-the-story-04	PEOPLE FROM THE STORY #04	1.0	12.0	regular	2020-12-16	nan	2020-12-16T04:00:00+00:00	7.0	nan	54762	https://www.tvmaze.com/shows/54762/youths-in-the-breeze	Youths in the Breeze	Scripted	Chinese	['Drama', 'Fantasy']	Ended	7.0	7.0	2020-12-13	2020-12-22	https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	28.0	nan	<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	1.618467e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
98	2318106	https://www.tvmaze.com/episodes/2318106/bride-of-beirut-2x50-episode-50	Episode 50	2.0	50.0	regular	2020-12-16	nan	2020-12-16T12:00:00+00:00	45.0	nan	61755	https://www.tvmaze.com/shows/61755/bride-of-beirut	Bride of Beirut	Scripted	Arabic	['Drama', 'Romance']	Running	45.0	NaN	2019-09-01	nan	https://shahid.mbc.net/en/series/Arous%20Beirut-season-1/season-376514-376515	6.0	nan	<p>Living with her aunt, kind-hearted Thourayya leads a simple life, but her world is upended when she crosses paths with the handsome and ambitious Fares.</p>	1.650909e+09	https://api.tvmaze.com/episodes/2001669
99	1984185	https://www.tvmaze.com/episodes/1984185/nfl-films-presents-2020-12-16-intensity	Intensity	2020.0	15.0	regular	2020-12-16	08:30	2020-12-16T13:30:00+00:00	30.0	nan	6441	https://www.tvmaze.com/shows/6441/nfl-films-presents	NFL Films Presents	Sports	English	[]	Running	30.0	30.0	1999-08-23	nan	http://www.nfl.com/videos/nfl-films-presents	26.0	nan	<p><b>NFL Films Presents</b> is devoted to producing commercials, television programs, feature films, and documentaries on the National Football League, as well as other unrelated major events and awards shows. It is currently owned by the NFL and produces most of its videotaped content except its live game coverage, which is handled separately by the individual networks."</p>	1.651026e+09	https://api.tvmaze.com/episodes/2001670
100	1991536	https://www.tvmaze.com/episodes/1991536/conversa-com-bial-4x153-especialistas-em-educacao	Especialistas em educação	4.0	153.0	regular	2020-12-16	nan	2020-12-16T14:00:00+00:00	NaN	nan	36813	https://www.tvmaze.com/shows/36813/conversa-com-bial	Conversa com Bial	Talk Show	Portuguese	[]	Running	NaN	40.0	2017-05-03	nan	https://globoplay.globo.com/conversa-com-bial/p/10086/	1.0	nan	nan	1.648342e+09	https://api.tvmaze.com/episodes/2001671
101	2036616	https://www.tvmaze.com/episodes/2036616/the-bump-2x62-the-bump-74	The Bump 74	2.0	62.0	regular	2020-12-16	10:00	2020-12-16T15:00:00+00:00	30.0	nan	44660	https://www.tvmaze.com/shows/44660/the-bump	The Bump	Talk Show	English	['Sports']	Running	30.0	30.0	2019-10-02	nan	https://watch.wwe.com/original/WWEs-The-Bump-107410	23.0	nan	<p>WWE's <b>The Bump</b> is unlike any WWE show you've ever seen before, featuring a dynamic cast of hosts--led by Kayla Braxton--and WWE Superstars stopping in weekly, both as in-studio and video call-in guests.</p>	1.649438e+09	https://api.tvmaze.com/episodes/2001672
102	1984683	https://www.tvmaze.com/episodes/1984683/sj-returns-4x83-episode-83	Episode 83	4.0	83.0	regular	2020-12-16	00:00	2020-12-16T15:00:00+00:00	5.0	nan	52250	https://www.tvmaze.com/shows/52250/sj-returns	SJ Returns	Reality	Korean	[]	Running	5.0	5.0	2017-10-09	nan	https://tv.naver.com/sjreturns	15.0	nan	<p>This show will follow Super Junior's everyday life.</p>	1.613088e+09	https://api.tvmaze.com/episodes/2001673
103	2192624	https://www.tvmaze.com/episodes/2192624/diti-proti-zirok-2x11-vypusk-11-ekaterina-kuhar-evgenij-klopotenko-ana-zaec	Выпуск 11 (Екатерина Кухар, Евгений Клопотенко, Яна Заец)	2.0	11.0	regular	2020-12-16	19:00	2020-12-16T17:00:00+00:00	90.0	nan	44675	https://www.tvmaze.com/shows/44675/diti-proti-zirok	Діти проти зірок	Game Show	Ukrainian	['Action', 'Family']	Running	90.0	90.0	2019-09-25	nan	https://novy.tv/ua/deti-protiv-zvezd/	21.0	{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	nan	1.640953e+09	https://api.tvmaze.com/episodes/2001674
104	2135011	https://www.tvmaze.com/episodes/2135011/dimension-20-7x06-collaborators	Collaborators	7.0	6.0	regular	2020-12-16	nan	2020-12-16T17:00:00+00:00	NaN	nan	56531	https://www.tvmaze.com/shows/56531/dimension-20	Dimension 20	Game Show	English	['Comedy', 'Adventure', 'Fantasy']	Running	NaN	NaN	2018-09-12	nan	https://www.dropout.tv/dimension-20	77.0	nan	<p>Heed the call of adventure and enter <b>Dimension 20</b> where Game Master Brennan Lee Mulligan, joined by comedians and pro gamers, blends comedy with tabletop RPGs.</p>	1.651253e+09	https://api.tvmaze.com/episodes/2007691
105	1977414	https://www.tvmaze.com/episodes/1977414/goede-tijden-slechte-tijden-31x63-aflevering-6318	Aflevering 6318	31.0	63.0	regular	2020-12-16	20:00	2020-12-16T19:00:00+00:00	23.0	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/2007692
106	1958867	https://www.tvmaze.com/episodes/1958867/wwe-nxt-14x51-main-event-toni-storm-vs-rhea-ripley	Main Event: Toni Storm vs. Rhea Ripley	14.0	51.0	regular	2020-12-16	20:00	2020-12-17T01:00:00+00:00	120.0	nan	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	75.0	2010-02-23	nan	http://www.wwe.com/inside/networkschedule	88.0	nan	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1.651646e+09	https://api.tvmaze.com/episodes/2031800
107	1945146	https://www.tvmaze.com/episodes/1945146/noblesse-1x11-lord-lost-child	Lord / Lost Child	1.0	11.0	regular	2020-12-16	00:00	2020-12-17T05:00:00+00:00	25.0	<p>After being summoned by Lord Raskreia, Seira headed to her hometown of Lukedonia. Raskreia finds out about the false reports to protect Raizel and decides to punish Seira and Gejutel. Meanwhile, Raizel, Frankenstein, and Regis arrive in Lukedonia to save Seira and Gejutel.</p>	49732	https://www.tvmaze.com/shows/49732/noblesse	Noblesse	Animation	Japanese	['Anime', 'Supernatural']	Ended	25.0	25.0	2015-12-04	2020-12-30	https://noblesse-anime.com/	44.0	nan	<p>Raizel awakens from his 820-year slumber. He holds the special title of Noblesse, a pure-blooded Noble and protector of all other Nobles. In an attempt to protect Raizel, his servant Frankenstein enrolls him at Ye Ran High School, where Raizel learns the simple and quotidian routines of the human world through his classmates. However, the Union, a secret society plotting to take over the world, dispatches modified humans and gradually encroaches on Raizel's life, causing him to wield his mighty power to protect those around him... After 820 years of intrigue, the secrets behind his slumber are finally revealed, and Raizel's absolute protection as the Noblesse begins!</p>	1.648717e+09	https://api.tvmaze.com/episodes/2034364

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Category Frequency Plot

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